Siemens Aktiengesellschaft

Siemens Energy Global Gmbh & Co. Kg

Friedrich-Alexander-Universitat Erlangen-Nürnberg

Mdn Main-donau Netzgesellschaft Mbh

Ivana Mladenovic

Thomas Werner

Wiebke Froehner

Paul Gregor Nikolic

Anne Bauer

Christian Weindl

Erhard Aumann

Wiebke Fröhner

Maximilian SCHÖNAU

Christian Freitag

Gerhard Herold

Various embodiments of the teachings herein include methods for determining the state of an electrical switchgear assembly. The method may include: measuring an electric current and a voltage dropped across the switchgear assembly; ascertaining a time interval of an arc occurring during a switching operation; comparing the ascertained time interval to a reference value specific to the switchgear assembly; measuring a voltage profile during the time interval; and comparing the voltage profile with a reference voltage profile. The time interval begins when the value of the measured voltage exceeds a first threshold value. The time interval ends when the value of the current intensity falls below a second threshold value.

Method for determining the state of an electrical switchgear assembly, monitoring unit for an electrical switchgear assembly, and electrical switchgear assembly

A method identifies a diagnosis variable which indicates an aging state of an operating device in an electrical energy supply network. In the method, first measurement values of at least one measurement variable are detected at a first measuring point of the operating device. Then simultaneously second measurement values of the at least one measurement variable are detected at a second measuring point of the operating device. The diagnosis variable is identified using respective simultaneously detected first and second measurement values. It is proposed that the first and second measurement values are detected in a time-controlled manner in such a way that a signal of the at least one measurement variable is sampled at a prescribed sampling rate at set times and over a set measurement duration so as to generate time profiles of the first and second measurement values.

Method for identifying at least one diagnosis variable, measuring device and measuring system

A gas-insulated switch has a first contact and a second contact. A contact unit is connected to the first contact as a movement contact unit having a drive unit and is movably mounted along a switch axis. The gas-insulated switch further has a multi-part insulation nozzle system with a primary nozzle and an auxiliary nozzle. A heating channel is formed between the primary nozzle and the auxiliary nozzle. The heating channel originates from an electric arc chamber and opens in a gas reservoir, wherein the gas reservoir is delimited by a ram. The gas reservoir is radially delimited by a wall, in respect of the switch axis, which is not a component of the movement contact unit, and the ram is part of the movement contact unit and is movably mounted such that the ram moves along the switch axis away from the second contact to enlarge the gas reservoir.

Gas-insulated switch

Managing control targets, in particular, load balancing processes, when controlling the supply, conversion, storage, feed, distribution, and/or use of energy in an energy network if the increasing, volatile, dynamic, decentralized, local feed and/or storage of electric energy leads to loads at different network connection levels of the energy network to control the energy supply so efficiently and sustainably that load balancing processes resulting from occurring load deviations for example are supported locally and reduced regionally and/or across network connection levels. Provided are hierarchical and network-oriented energy clusters formed within network connection levels of the energy network, and in the process, the expenditure of energy and the local exchange of energy within energy clusters are localized across clusters and/or across network connection levels via a voluntary and incentivized participation in an energy cluster service which manages the control targets in the energy network.

Method, computer program product, device, and energy cluster service system for managing control targets, in particular load balancing processes, when controlling the supply, conversion, storage, infeed, distribution, and/or use of energy in an energy network

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Seukendorf, Germany

Ivana Mladenovic